共查询到19条相似文献,搜索用时 62 毫秒
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针对薄壁叶片在加工过程中易产生弹性变形的特点,根据材料力学理论和有限元理论,采用ABAQUS软件模拟了叶片加工过程中的变形量。通过设计正交实验,探讨了切削参数、刀具倾角以及薄壁叶片汽道弧面上加工位置对叶片变形的影响规律;采用线性回归的分析方法,建立了薄壁叶片汽道弧面加工过程中变形量与各个因素之间的预测模型。然后根据镜像误差补偿原理,对叶片进行误差补偿,建立新的叶片模型。研究表明:薄壁叶片变形量随着主轴转速、Y距离的增加而减小,随着进给速度、切削深度、加工倾角和X距离的增加而增加;以新建的叶片模型获取的加工代码,在相同的加工条件下,能够提高叶片的加工精度。 相似文献
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针对大型薄壁回转体车削过程中加工变形大,影响发动机安装和使役性能的突出问题,基于ABAQUS软件有限元仿真及其二次开发技术,开发了具有切削力载荷动态施加、依次卸载关键功能的有限元仿真辅助软件,实现了大型薄壁回转结构件全尺寸、完整结构的车削加工变形有限元仿真预测;并针对两种径向辅助支撑方式,分析了切削力对工件内、外圆跳动误差的影响规律;通过仿真计算结果和试验结果对比,验证了加工变形有限元预测的准确性;论文提出的相关技术为控制大型薄壁回转体加工变形、优化装夹方式提供了技术支持。 相似文献
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针对薄壁件数控加工过程中产生的力致变形误差,提出了一种将变形误差预测与误差补偿进行集成的方法。在提出高效的误差计算迭代算法基础上,采用APDL的方式开发了集迭代计算、刀具走刀、材料去除于一体的误差动态仿真程序,实现全过程加工误差的自动计算。借助UG二次开发工具UG/Open开发的应用程序实现了UG和ANSYS之间的数据通信,根据预测变形误差自动修正CAD模型,继而利用UG CAM生成考虑误差补偿因素的加工代码。研究了涉及误差离线预测及补偿的集成方法的多个关键技术。算例表明:误差预测值逼近实验值,精度可靠;集成软件能够自动生成误差补偿的加工代码,实现了误差离线预测和补偿全过程的CAD/CAE/CAM集成,集成程度高。 相似文献
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薄壁件加工变形控制快速仿真平台开发 总被引:1,自引:0,他引:1
为控制薄壁件装夹变形和加工变形,建立了集装夹优化、加工变形预测、切削参数优化及误差补偿功能为一体的快速仿真平台.在平台实现中,装夹方案的优化采用基于形位公差控制的方法,通过多种装夹方案的比较,确定优化方案.加工变形预测时考虑了前-层变形对后-层切削深度的影响,并使切削力和加工变形达到动态平衡.为获得优化切削参数,建立了以变形控制为目标的优化模型.采用有限元法计算加工变形,采用遗传算法求解优化模型.为解得优化补偿量,仿真时考虑了变形与力的耦合效应.完成了基于ABAQUS的快速仿真平台开发.以镜座零件为例进行仿真,求得了优化的装夹方案和切削参数,验证了平台的可行性. 相似文献
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Xuewei Zhang Tianbiao Yu Wanshan Wang Kornel F. Ehmann 《Machining Science and Technology》2016,20(3):406-424
High-speed machining of thin-walled workpiece is widely used in aerospace industry. To optimize the machining parameters in milling operations, the related process stability is required to be predicted. Compared to the existing two-dimensional (2D) milling stability model, a more completed three-dimensional (3D) regenerative process stability prediction model of thin-walled workpiece is presented based on the newly developed dynamic model. The efficiency and accuracy of the regenerative milling stability can be improved in the presented 3D model. The analysis procedure of the stability of flexible dynamic milling is developed in details. The 3D stability lobes are calculated according to the full discretization method and direct integration scheme. To verify the accuracy of presented 3D stability model, the thin-walled workpiece milling sound pressure signal and surface quality are determined in experiments. 相似文献
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Zequan YAO Chang FAN Zhao ZHANG Dinghua ZHANG Ming LUO 《Frontiers of Mechanical Engineering》2021,16(4):855
Machined surface roughness will affect parts’ service performance. Thus, predicting it in the machining is important to avoid rejects. Surface roughness will be affected by system position dependent vibration even under constant parameter with certain toolpath processing in the finishing. Aiming at surface roughness prediction in the machining process, this paper proposes a position-varying surface roughness prediction method based on compensated acceleration by using regression analysis. To reduce the stochastic error of measuring the machined surface profile height, the surface area is repeatedly measured three times, and Pauta criterion is adopted to eliminate abnormal points. The actual vibration state at any processing position is obtained through the single-point monitoring acceleration compensation model. Seven acceleration features are extracted, and valley, which has the highest R-square proving the effectiveness of the filtering features, is selected as the input of the prediction model by mutual information coefficients. Finally, by comparing the measured and predicted surface roughness curves, they have the same trends, with the average error of 16.28% and the minimum error of 0.16%. Moreover, the prediction curve matches and agrees well with the actual surface state, which verifies the accuracy and reliability of the model. 相似文献
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Shaogang Liu L. Zheng Z.H. Zhang D.H. Wen 《The International Journal of Advanced Manufacturing Technology》2006,28(7-8):653-658
In order to optimize the positions of the locators in peripheral milling of a thin-walled workpiece, a finite element model
along with an accurate cutting forces model is proposed in this paper. The finite element model takes into account the thickness
variations of the workpiece in peripheral milling. The locators on the secondary locating surface directly influence the surface
errors in peripheral milling of thin-walled workpiece, so this paper deals with the optimization of the positions of the locators
on the secondary locating surface. A method including two steps is presented. In the first step, the initial positions of
the locators are determined by adding the locators at the position with the maximum deformation. In the second step, a heuristic
algorithm is proposed to optimize the positions of the locators. Finally, a simulation example is used to illustrate the method. 相似文献